Papers with Code 아카이브

General Classification

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전체 기법전체 데이터셋

하위 태스크

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평가표

11

보존된 평가 기록

19

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/dongliangchang/Mutual-Channel-Loss

공식 코드

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

https://github.com/dongliangchang/OSLNet

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OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer

https://github.com/dongliangchang/Top-Down-Spatial-Attention-Loss

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Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features

https://github.com/dotnet54/TS-CHIEF

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TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification

https://github.com/dotnet54/multivariate-measures

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Elastic Similarity and Distance Measures for Multivariate Time Series

https://github.com/doubledaibo/drnet

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Detecting Visual Relationships with Deep Relational Networks

https://github.com/dr-costas/undaw

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Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification

https://github.com/drainingsun/ybat

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Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline

https://github.com/drexelai/binary-search-in-neural-nets

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Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems

https://github.com/dribnet/plat

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Sampling Generative Networks

https://github.com/drimpossible/Sampling-Bias-Active-Learning

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Sampling Bias in Deep Active Classification: An Empirical Study

https://github.com/drsleep/nas-segm-pytorch

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Template-Based Automatic Search of Compact Semantic Segmentation Architectures

https://github.com/ds-utilities/ICE

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A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction

https://github.com/ds7711/music_genre_classification

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Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification

https://github.com/dsanmartin/chilean-bills-classification

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A Deep Learning Model for Chilean Bills Classification

https://github.com/dsciitism/SemEval-2020-Task-8

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DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis

https://github.com/dsfsi/textaugment

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Improving short text classification through global augmentation methods

https://github.com/dsgissin/DiscriminativeActiveLearning

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Discriminative Active Learning

https://github.com/dsshim0125/gaussian-ram

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Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning

https://github.com/dstamoulis/single-path-nas

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Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

https://github.com/dtak/local-independence-public

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Learning Qualitatively Diverse and Interpretable Rules for Classification

https://github.com/duanjiexin/bigNN

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Rates of Convergence for Large-scale Nearest Neighbor Classification

https://github.com/duncan-barrack/NHPP

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Classification and clustering for observations of event time data using non-homogeneous Poisson process models

https://github.com/dvornikita/SUR

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Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification

https://github.com/dydjw9/RAIN

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RAIN: A Simple Approach for Robust and Accurate Image Classification Networks

https://github.com/dykuang/Leaf_Project

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A 1d convolutional network for leaf and time series classification

https://github.com/dynamicslab/pysensors

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PySensors: A Python Package for Sparse Sensor Placement

https://github.com/e-delaney/Instance-Based_CFE_TSC

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Instance-based Counterfactual Explanations for Time Series Classification

https://github.com/ebagdasa/differential-privacy-vs-fairness

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Differential Privacy Has Disparate Impact on Model Accuracy

https://github.com/ebalda/adversarialconvex

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On Generation of Adversarial Examples using Convex Programming

https://github.com/ebonilla/VGCN

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Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings

https://github.com/edemir-matcomp/OLACEFS_DAM

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BrazilDAM: A Benchmark dataset for Tailings Dam Detection

https://github.com/edilsonacjr/pelesent

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PELESent: Cross-domain polarity classification using distant supervision

https://github.com/edilsonacjr/semeval2017

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NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis

https://github.com/editable-ICLR2020/editable

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Editable Neural Networks

https://github.com/edouardoyallon/pyscatlight

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Compressing the Input for CNNs with the First-Order Scattering Transform

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